[HTML][HTML] Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
The recent development in the areas of deep learning and deep convolutional neural
networks has significantly progressed and advanced the field of computer vision (CV) and …
networks has significantly progressed and advanced the field of computer vision (CV) and …
A review on deep learning techniques for the diagnosis of novel coronavirus (COVID-19)
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world
and has become one of the most acute and severe ailments in the past hundred years. The …
and has become one of the most acute and severe ailments in the past hundred years. The …
[HTML][HTML] Accelerating detection of lung pathologies with explainable ultrasound image analysis
Care during the COVID-19 pandemic hinges upon the existence of fast, safe, and highly
sensitive diagnostic tools. Considering significant practical advantages of lung ultrasound …
sensitive diagnostic tools. Considering significant practical advantages of lung ultrasound …
Robots under COVID-19 pandemic: A comprehensive survey
As a result of the difficulties brought by COVID-19 and its associated lockdowns, many
individuals and companies have turned to robots in order to overcome the challenges of the …
individuals and companies have turned to robots in order to overcome the challenges of the …
Maximum entropy scaled super pixels segmentation for multi-object detection and scene recognition via deep belief network
Recent advances in visionary technologies impacted multi-object recognition and scene
understanding. Such scene-understanding tasks are a demanding part of several …
understanding. Such scene-understanding tasks are a demanding part of several …
Fighting COVID-19 and future pandemics with the Internet of Things: Security and privacy perspectives
The speed and pace of the transmission of severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2; also referred to as novel Coronavirus 2019 and COVID-19) have resulted in …
(SARS-CoV-2; also referred to as novel Coronavirus 2019 and COVID-19) have resulted in …
Self-supervised deep convolutional neural network for chest X-ray classification
Chest radiography is a relatively cheap, widely available medical procedure that conveys
key information for making diagnostic decisions. Chest X-rays are frequently used in the …
key information for making diagnostic decisions. Chest X-rays are frequently used in the …
[HTML][HTML] Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead
Artificial Intelligence (AI) has played a substantial role in the response to the challenges
posed by the current pandemic. The growing interest in using AI to handle Covid-19 issues …
posed by the current pandemic. The growing interest in using AI to handle Covid-19 issues …
A review of deep learning applications in lung ultrasound imaging of COVID-19 patients
The massive and continuous spread of COVID-19 has motivated researchers around the
world to intensely explore, understand, and develop new techniques for diagnosis and …
world to intensely explore, understand, and develop new techniques for diagnosis and …
A comprehensive review on variants of SARS-CoVs-2: Challenges, solutions and open issues
SARS-CoV-2 is an infected disease caused by one of the variants of Coronavirus which
emerged in December 2019. It is declared a pandemic by WHO in March 2020. COVID-19 …
emerged in December 2019. It is declared a pandemic by WHO in March 2020. COVID-19 …